Table 4.
Putative SHMT1 risk variants genotype a | Number of subjects (%) |
Pb | Crude OR (95% CI) | Adjusted OR (95% CI)c | |
---|---|---|---|---|---|
Patients | Controls | ||||
Total | 1032 (100.0) | 1145 (100.0) | |||
0 | 1 (0.1) | 1 (0.1) | 0.269 | ||
1 | 37 (3.6) | 62 (5.4) | |||
2 | 498 (48.3) | 573 (50.0) | |||
3 | 468 (45.4) | 484 (42.3) | |||
4 | 26 (2.5) | 24 (2.1) | |||
5 | 2 (0.2) | 1 (0.1) | |||
0–1 | 38 (3.7) | 63 (5.5) | 0.056 | 1.00 | 1.00 |
2 | 498 (48.3) | 573 (50.0) | 1.44 (0.95–2.19) | 1.39 (0.89–2.18) | |
3+ | 496 (48.1) | 509 (44.5) | 1.62 (1.06–2.46) | 1.65 (1.05–2.57) | |
Ptrend = 0.029 | Ptrend = 0.013 | ||||
0–2 | 536 (51.9) | 636 (55.5) | 0.092 | 1.00 | 1.00 |
3+ | 496 (48.1) | 509 (44.5) | 1.16 (0.98–1.37) | 1.21 (1.01–1.45) |
Constructed from the combination of dichotomized genotypes as shown in Table 2.
Two-sided χ2 test for the difference in the genotype or allele distributions between the cases and the controls.
Due to missing data, 932 cases and 1073 controls were analyzed with adjustment for age, sex, smoking status, square root of pack-years smoked, alcohol drinking status, and dietary intake of total folate, vitamin B6, vitamin B12, and methionine in logistic regression models.